Pinned Repositories
CFLP
Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
linkless-link-prediction
[ICML 2023] Linkless Link Prediction via Relational Distillation
DeepFD-pyTorch
A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)
GAug
AAAI'21: Data Augmentation for Graph Neural Networks
GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
Graph-Anomaly-Loss
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
graph-data-augmentation-papers
A curated list of graph data augmentation papers.
SDM2023_Graph_Data_Augmentation_Tutorial
Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
zhao-tong's Repositories
zhao-tong/graph-data-augmentation-papers
A curated list of graph data augmentation papers.
zhao-tong/GAug
AAAI'21: Data Augmentation for Graph Neural Networks
zhao-tong/GNNs-easy-to-use
An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.
zhao-tong/Graph-Anomaly-Loss
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.
zhao-tong/DeepFD-pyTorch
A PyTorch implementation of DeepFD (Deep Structure Learning for Fraud Detection)
zhao-tong/SDM2023_Graph_Data_Augmentation_Tutorial
Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
zhao-tong/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
zhao-tong/AOO
BigData'18: Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs
zhao-tong/snap-research-website
https://research.snap.com/
zhao-tong/zhao-tong
zhao-tong/zhao-tong.github.io